Course: Data Fusion Architecture credits: 5
- Course code
- SEVM21DFA
- Name
- Data Fusion Architecture
- Study year
- 2026-2027
- ECTS credits
- 5
- Language
- English
- Coordinator
- M. Sedighi
- Modes of delivery
-
- Lecture
- Project-based learning
- Assessments
-
- Data Fusion Architecture - Assignment
Learning outcomes
At the end of this module the student:
- create data processing software for a sensor system which combines multi-sensor data into correct interpretations.
- analyse system requirements to identify applicable sensor fusion architectures.
- analyse data acquisition by a sensor system to construct a common representational format.
- adapt sensor system design to create correct temporal and spatial alignment and normalization of multi-sensor data.
- design interfaces for sensor system management.
- design and implement a system architecture using data stream management systems.
- design and implement mathematical data fusion models.
Content
The course covers the following topics:
sensor fusion architectures, common representational format, temporal and spatial alignment, error propagation analysis and device virtualization.
sensor fusion architectures, common representational format, temporal and spatial alignment, error propagation analysis and device virtualization.
Included in programme(s)
School(s)
- Engineering, Life Sciences & ICT